#多线程实战栗子（糗百）
#用一个队列Queue对象，
#先产生所有url，put进队列；
#开启多线程，把queue队列作为参数传入
#主函数中读取urlimport requests
from queue import Queue
import re,os,threading,time
# 构造所有ip地址并添加进queue队列
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36'
}
urlQueue = Queue()
[urlQueue.put('http://www.qiumeimei.com/image/page/{}'.format(i)) for i in range(1,14)]
def get_image(urlQueue):while True:try:# 不阻塞的读取队列数据url = urlQueue.get_nowait()# i = urlQueue.qsize()except Exception as e:breakprint('Current Thread Name %s, Url: %s ' % (threading.currentThread().name, url))try:res = requests.get(url, headers=headers)url_infos = re.findall('data-lazy-src="(.*?)"', res.text, re.S)for url_info in url_infos:if os.path.exists(img_path + url_info[-20:]):print('图片已存在')else:image = requests.get(url_info, headers=headers)with open(img_path + url_info[-20:], 'wb') as fp:time.sleep(1)fp.write(image.content)print('正在下载:' + url_info)except Exception as e:print(e)if __name__ == '__main__':startTime = time.time()# 定义图片存储路径img_path = './img/'if not os.path.exists(img_path):os.mkdir(img_path)threads = []# 可以调节线程数， 进而控制抓取速度threadNum = 4for i in range(0, threadNum):t = threading.Thread(target=get_image, args=(urlQueue,))threads.append(t)for t in threads:t.start()for t in threads:# 多线程多join的情况下，依次执行各线程的join方法, 这样可以确保主线程最后退出， 且各个线程间没有阻塞
        t.join()endTime = time.time()print('Done, Time cost: %s ' % (endTime - startTime))